Update resnet.md (Typo "Pytorch"→"PyTorch")

https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/resnet?view=azureml-api-2
https://github.com/MicrosoftDocs/azure-docs/blob/main/articles/machine-learning/component-reference/resnet.md
#PingMSFTDocs

Author: hyoshioka0128

articles/machine-learning/component-reference/resnet.md

@@ -20,7 +20,7 @@ This classification algorithm is a supervised learning method, and requires a la
 > [!NOTE]
 > This component does not support labeled dataset generated from *Data Labeling* in the studio, but only support labeled image directory generated from [Convert to Image Directory](convert-to-image-directory.md) component. 
 
-You can train the model by providing a model and a labeled image directory as inputs to [Train Pytorch Model](train-pytorch-model.md). The trained model can then be used to predict values for the new input examples using [Score Image Model](score-image-model.md).
+You can train the model by providing a model and a labeled image directory as inputs to [Train PyTorch Model](train-pytorch-model.md). The trained model can then be used to predict values for the new input examples using [Score Image Model](score-image-model.md).
 
 ### More about ResNet
 
@@ -36,7 +36,7 @@ Refer to [this paper](https://pytorch.org/vision/stable/models.html#torchvision.
 
 4.  For **Zero init residual**, specify whether to zero-initialize the last batch norm layer in each residual branch. If selected, the residual branch starts with zeros, and each residual block behaves like an identity. This can help with convergence at large batch sizes according to https://arxiv.org/abs/1706.02677.
 
-5.  Connect the output of **ResNet** component, training and validation image dataset component to the [Train Pytorch Model](train-pytorch-model.md). 
+5.  Connect the output of **ResNet** component, training and validation image dataset component to the [Train PyTorch Model](train-pytorch-model.md). 
 
 6.  Submit the pipeline.
 
@@ -59,8 +59,8 @@ After pipeline run is completed, to use the model for scoring, connect the [Trai
 
 | Name            | Type                    | Description                              |
 | --------------- | ----------------------- | ---------------------------------------- |
-| Untrained model | UntrainedModelDirectory | An untrained ResNet model that can be connected to Train Pytorch Model. |
+| Untrained model | UntrainedModelDirectory | An untrained ResNet model that can be connected to Train PyTorch Model. |
 
 ## Next steps
 
-See the [set of components available](component-reference.md) to Azure Machine Learning. 
+See the [set of components available](component-reference.md) to Azure Machine Learning.